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May, 2023
面向会话型新物品推荐的双意图增强图神经网络
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation
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Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang...
TL;DR
提出了一种双意图增强图神经网络模型来解决基于会话的推荐系统中新物品推荐难的问题,通过零样本学习方法推理新物品在GNN空间中的表示,并利用双意图网络从历史数据中学习用户意图,最终给出新物品的推荐概率。实验结果表明,该方法优于传统方法。
Abstract
recommender systems
are essential to various fields, e.g., e-commerce, e-learning, and streaming media. At present,
graph neural networks
(GNNs) for session-based recommendations normally can only recommend items
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